cellphone:+** (**) *.****-****
mail: ***************@*****.***
zip code: 50710170
Recife-Brazil
Camila Barros
Resumé
WORK EXPERIENCE
**/**** – 06/2020
Python Developer - INTELIVIX - Legal Artificial Intelligence, Recife - Brazil. Development and maintenance of an ETL private software used to extract information from mongo-db (in an AWS environment), process it and store in postgres RDS in AWS; following a Kanban workflow; Continuous Integration using Travis CI;
Automate and schedule tasks using stepfunctions and other AWS services; 11/2018 – 07/2019
Artificial Intelligence Intern - CR3- Compliance & Results, Recife - Brazil. Development and maintenance of consulting management software powered by AI; Client visits aiming to specify software requirements; Designing a workflow for a subteam to speed up development and optimize sprints; managing time and software requirements of other 2 interns; 08/2017 – 05/2018
Full Stack Developer -Baltar Tecnologia e Equipamentos, Recife - Brazil. Models development in Solidworks;
Development of desktop app for client management using flask and gtk ; development of mobile apps with React Native;
05/2017 – 08/2017
Artificial Intelligence Intern -Secretaria da Fazenda do Estado de PE, Recife - Brazil. help creating Regular expressions for detecting fraud attempts in receipt/invoices; Help employees use the BI software Pentaho;
EDUCATION
Undergraduate Student, BSC in Control Systems Engineering - Universidade de Pernambuco UPE (night shift)- Recife,Brazil
Teacher assistant - I.A -Universidade de Pernambuco. Technische Universität Dresden, Alemanha, 09/2014 - 08/2015 CONTRIBUTIONS
Reseach presentation on International Medical congress - Brain-2018
“A Neuroanatomia e a Genética da Depressão: Uma Visão Computacional do Cérebro - similaridade genética por kmeans e PCA” (Depression’s Neuroanatomy and Genetics: a computational view of the brain by genetic similarity using kmeans and pca)
Scientific Paper contribution: “Lacerda, Marcelo & D'amorim, Camila & Alvim, Arthur. (2020). Prevendo Decisões Judiciais em Tribunais Brasileiros de Primeira Instância com Aprendizagem de Máquina.
“
Suport the development of a machine learning program for Pernambuco state in an knowleage exchange partnership with the university
Skills
Artificial Intelligence
unsupervised algorithms: SOM, K-means, PCA;
supervised algorithms: LSTM, artificial imune systems (AIS), SWARM, KNN; tools: Scikit-learn, Pandas, Matplotlib, Google Collaboratory; Programming Languages
Python, API Flask;
Node, JavaScript, HTML;
Docker, Docker compose;
Mongo-DB and Postgresql;
Cloud
AWS: SDK boto3, Batch Jobs, EC2, ECS, CloudFormation, S3, Athena, Glue, Dynamo DB, RDS, IAM, Stepfunctions, ECR and VPC
SCRUM and pair Programming
LANGUAGES
English advanced level (Toefl)
German intermediate level (TELC-B2 certificate)
native portuguese
basic french